# performance

## Checking bounds checking in Julia

Ever since my knapsack benchmark I’ve been curious why Julia was still $$\approx 50\%$$ slower than either Java or C++ on what essentially were a couple of nested for-loops over a pair of arrays. I’ve done some exploring and now believe that my first guess was correct: much of the remaining Julia overhead is due to its bounds checking. Eliding bounds checking unconditionally with @inbounds My first test was to isolate all opt_value() lines with array access into a begin.